#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
MCP工具接口模块

这个模块提供了与MCP服务器交互的接口函数
在真实环境中，这些函数会调用实际的MCP服务器

作者: AI助手
版本: 1.0.0
创建时间: 2025-08-20
"""

import json
from typing import Dict, Any, Optional

def run_mcp(server_name: str, tool_name: str, args: Dict[str, Any]) -> Optional[Any]:
    """
    调用MCP服务器工具
    
    在真实环境中，这个函数会通过MCP协议与服务器通信
    当前版本为演示版本，模拟真实的MCP调用
    
    Args:
        server_name: MCP服务器名称，如 "mcp.config.usrlocalmcp.Playwright"
        tool_name: 工具名称，如 "playwright_navigate"
        args: 工具参数字典
    
    Returns:
        工具执行结果，类型取决于具体的工具
    
    Raises:
        Exception: 当MCP调用失败时
    """
    
    print(f"[MCP调用] 服务器: {server_name}")
    print(f"[MCP调用] 工具: {tool_name}")
    print(f"[MCP调用] 参数: {json.dumps(args, ensure_ascii=False, indent=2)}")
    
    try:
        # 在真实环境中，这里会调用实际的MCP服务器
        # 当前为演示模式，返回模拟数据
        
        if server_name == "mcp.config.usrlocalmcp.Playwright":
            return _handle_playwright_call(tool_name, args)
        else:
            print(f"[MCP调用] 不支持的服务器: {server_name}")
            return None
            
    except Exception as e:
        print(f"[MCP调用] 错误: {e}")
        raise e

def _handle_playwright_call(tool_name: str, args: Dict[str, Any]) -> Optional[Any]:
    """
    处理Playwright MCP调用
    
    在真实环境中，这些调用会发送到实际的Playwright MCP服务器
    当前版本返回模拟数据用于演示
    
    Args:
        tool_name: Playwright工具名称
        args: 工具参数
    
    Returns:
        模拟的工具执行结果
    """
    
    if tool_name == "playwright_navigate":
        url = args.get("url", "")
        print(f"[Playwright] 导航到: {url}")
        
        # 模拟导航成功
        return {
            "success": True,
            "url": url,
            "status": "页面加载完成"
        }
    
    elif tool_name == "playwright_evaluate":
        script = args.get("script", "")
        print(f"[Playwright] 执行JavaScript脚本")
        print(f"[Playwright] 脚本长度: {len(script)} 字符")
        
        # 模拟JavaScript执行结果
        # 在真实环境中，这里会返回实际的页面数据
        
        # 根据脚本内容返回不同的模拟数据
        if "jiqizhixin" in script or "机器之心" in script:
            return _get_mock_jiqizhixin_data()
        elif "qbitai" in script or "量子位" in script:
            return _get_mock_qbitai_data()
        elif "aiera" in script:
            return _get_mock_aiera_data()
        else:
            # 通用模拟数据
            return []
    
    elif tool_name == "playwright_close":
        print(f"[Playwright] 关闭浏览器")
        return {
            "success": True,
            "message": "浏览器已关闭"
        }
    
    elif tool_name == "playwright_screenshot":
        print(f"[Playwright] 截图")
        return {
            "success": True,
            "screenshot_path": "/tmp/screenshot.png"
        }
    
    else:
        print(f"[Playwright] 不支持的工具: {tool_name}")
        return None

def _get_mock_jiqizhixin_data():
    """获取机器之心的模拟数据"""
    return [
        {
            "title": "GPT-5即将发布？OpenAI最新研究突破揭示AGI新进展",
            "url": "https://www.jiqizhixin.com/articles/2025-08-20-gpt5-breakthrough",
            "image": "https://www.jiqizhixin.com/images/gpt5-news.jpg",
            "time": "2025-08-20 10:30:00",
            "tags": ["GPT-5", "OpenAI", "AGI"],
            "author": "机器之心编辑部",
            "content": "OpenAI最新发布的研究论文显示，GPT-5在多项基准测试中取得了显著突破..."
        },
        {
            "title": "谷歌Gemini Ultra 2.0发布，多模态能力再次升级",
            "url": "https://www.jiqizhixin.com/articles/2025-08-20-gemini-ultra-2",
            "image": "https://www.jiqizhixin.com/images/gemini-ultra.jpg",
            "time": "2025-08-20 09:15:00",
            "tags": ["Gemini", "Google", "多模态"],
            "author": "张三",
            "content": "谷歌今日正式发布Gemini Ultra 2.0，在图像理解、视频分析等方面有重大提升..."
        },
        {
            "title": "Meta发布Llama 3.1，开源大模型新里程碑",
            "url": "https://www.jiqizhixin.com/articles/2025-08-20-llama-31",
            "image": "https://www.jiqizhixin.com/images/llama31.jpg",
            "time": "2025-08-20 08:45:00",
            "tags": ["Llama", "Meta", "开源"],
            "author": "李四",
            "content": "Meta最新发布的Llama 3.1模型在保持开源特性的同时，性能达到了新的高度..."
        }
    ]

def _get_mock_qbitai_data():
    """获取量子位的模拟数据"""
    return [
        {
            "title": "百度文心一言4.0震撼发布，中文大模型新标杆",
            "url": "https://www.qbitai.com/2025/08/20/wenxin-4-0-release",
            "image": "https://www.qbitai.com/images/wenxin40.jpg",
            "time": "2025-08-20 11:20:00",
            "tags": ["文心一言", "百度", "中文大模型"],
            "author": "量子位编辑",
            "content": "百度今日正式发布文心一言4.0版本，在中文理解和生成能力上实现重大突破..."
        },
        {
            "title": "阿里通义千问升级，多模态交互体验全面优化",
            "url": "https://www.qbitai.com/2025/08/20/tongyi-qianwen-upgrade",
            "image": "https://www.qbitai.com/images/tongyi.jpg",
            "time": "2025-08-20 10:05:00",
            "tags": ["通义千问", "阿里巴巴", "多模态"],
            "author": "王五",
            "content": "阿里巴巴对通义千问进行了重大升级，新增了图像生成、视频理解等功能..."
        }
    ]

def _get_mock_aiera_data():
    """获取aiera.com.cn的模拟数据"""
    return [
        {
            "title": "AI芯片市场格局生变，国产芯片迎来新机遇",
            "url": "https://aiera.com.cn/news/2025-08-20-ai-chip-market",
            "image": "https://aiera.com.cn/images/ai-chip.jpg",
            "time": "2025-08-20 12:00:00",
            "tags": ["AI芯片", "国产芯片", "市场分析"],
            "author": "aiera编辑部",
            "content": "随着AI技术的快速发展，AI芯片市场竞争日趋激烈，国产芯片厂商正在加速追赶..."
        },
        {
            "title": "自动驾驶技术新突破，L4级别商业化进程加速",
            "url": "https://aiera.com.cn/news/2025-08-20-autonomous-driving",
            "image": "https://aiera.com.cn/images/autonomous-car.jpg",
            "time": "2025-08-20 11:30:00",
            "tags": ["自动驾驶", "L4", "商业化"],
            "author": "赵六",
            "content": "多家自动驾驶公司宣布在L4级别技术上取得重要进展，商业化落地步伐明显加快..."
        }
    ]

# 为了兼容性，提供一些别名函数
def call_mcp_tool(server_name: str, tool_name: str, **kwargs) -> Optional[Any]:
    """调用MCP工具的别名函数"""
    return run_mcp(server_name, tool_name, kwargs)

def playwright_navigate(url: str, **kwargs) -> Optional[Any]:
    """Playwright导航的便捷函数"""
    args = {"url": url, **kwargs}
    return run_mcp("mcp.config.usrlocalmcp.Playwright", "playwright_navigate", args)

def playwright_evaluate(script: str, **kwargs) -> Optional[Any]:
    """Playwright执行JavaScript的便捷函数"""
    args = {"script": script, **kwargs}
    return run_mcp("mcp.config.usrlocalmcp.Playwright", "playwright_evaluate", args)

def playwright_close(**kwargs) -> Optional[Any]:
    """Playwright关闭浏览器的便捷函数"""
    return run_mcp("mcp.config.usrlocalmcp.Playwright", "playwright_close", kwargs)

if __name__ == "__main__":
    # 测试代码
    print("测试MCP工具接口...")
    
    # 测试导航
    result = playwright_navigate("https://www.jiqizhixin.com")
    print(f"导航结果: {result}")
    
    # 测试JavaScript执行
    script = "document.title"
    result = playwright_evaluate(script)
    print(f"脚本执行结果: {result}")
    
    # 测试关闭浏览器
    result = playwright_close()
    print(f"关闭浏览器结果: {result}")
    
    print("测试完成！")